First Report of Anthracnose Caused by Colletotrichum gloeosporioides on Cinnamomum camphora in Korea.

Cinnamomum camphora, known as the camphor tree, is an evergreen tree widely cultivated in Asia as an ornamental plant (Singh and Jawaid, 2012). In June 2023, several leaves on a total of 10 trees planted on a street in Suncheon, Jeonnam Province, Korea showed black spots. Disease incidence was observed in at least 15% of the 10 trees. The symptoms included circular spots with a light ash-colored center and dark brown borders. The size of lesions varied depending on the progress of the disease. The disease progressed by 30% on the tree leaves. To isolate the pathogen, we cut out the lesions on the leaf surface sterilized with 70% ethanol for one minute, washed three times with sterilized distilled water, dried, and placed on water agar. Then, it was incubated at 25°C for three days. Emerging hyphae from the samples were subcultured on potato dextrose agar (PDA), resulting in three independent isolates (SYP-F1226-1 to SYP-F1226-3) after single spore isolation from 3 independent trees. The isolates exhibited grayish fluffy mycelium in the center of the colony, while the edges were white on PDA. Conidia had rounded cylindrical shape and were 4.9 to 8.4 µm  1.4 to 3.1 µm (avg. 5.9  2.1 µm, n = 100) in size. Appressoria were round, dark gray, produced at the tip of the germ tube after a septum formed the conidium. The morphological characteristics matched those of Colletotrichum species complexes. (Damm et al., 2012; Weir et al., 2012). For molecular identification, ITS (OR647338 to 40), GAPDH (OR657042 to 44), CHS-1 (OR657045 to 47), ACT (OR657048 to 50), and CAL (OR657051 to 53) sequences from isolates SYP-F1226-1~3 showed a 99.65%, 98.56%, 99.00%, 99.28%, and 99.52% identity with that of type strain C. gloeosporioides ICMP 17821 (JX010152, JX010056, JX009818, JX009531, and JX010445, respectively). Using the MEGA X program (Kumar et al. 2018), maximum likelihood analysis based on the concatenated sequences placed the isolates within a clade comprising C. gloeosporioides. Pathogenicity of SYP-F1226-1 was tested using three leaves from a 1-year-old branch of three independent healthy C. camphora plants. The leaf surfaces were sterilized by rubbing a cotton pad soaked in 70% ethanol and then wiping them with a sterilized cotton pad. The leaves per plant were inoculated with 5 mL of a conidial suspension (1 × 105 conidia/mL), both with and without wounding. Another three control leaves were inoculated with sterile distilled water, both with and without wounding. The inoculated leaves were wrapped in a plastic bag for 48 hours under conditions of 100% relative humidity. Spot symptoms were observed on both wounded and non-wounded leaves 21 days after inoculation. No symptoms were observed in the control on either of the wounded leaves. Pathogenicity tests were performed three times. The pathogen was re-isolated from the lesion after treatment, and its identity was confirmed using the five genes and morphological characteristics. This confirms the fulfillment of Koch's postulates. C. fioriniae (Liu et al, 2022) and C. siamens (Liu et al, 2022; Khoo et al, 2023) have been reported as the causal pathogen of anthracnose in C. camphora, but C. gloeosporioides has not been reported as a pathogen in C. camphora. To our knowledge, this is the first report of anthracnose caused by C. gloeosporioides on C. camphora in Korea. This study will provide symptomatic, mycological, and molecular biological information for the early detection of anthracnose disease in C. camphora plants.

Sensor-Based Quantification of Peanut Disease Defoliation Using an Unmanned Aircraft System and Multispectral Imagery.

Early leaf spot (Passalora arachidicola) and late leaf spot (Nothopassalora personata) are two of the most economically important foliar fungal diseases of peanut, often requiring seven to eight fungicide applications to protect against defoliation and yield loss. Rust (Puccinia arachidis) may also cause significant defoliation depending on season and location. Sensor technologies are increasingly being utilized to objectively monitor plant disease epidemics for research and supporting integrated management decisions. This study aimed to develop an algorithm to quantify peanut disease defoliation using multispectral imagery captured by an unmanned aircraft system. The algorithm combined the Green Normalized Difference Vegetation Index and the Modified Soil-Adjusted Vegetation Index and included calibration to site-specific peak canopy growth. Beta regression was used to train a model for percent net defoliation with observed visual estimations of the variety 'GA-06G' (0 to 95%) as the target and imagery as the predictor (train: pseudo-R2 = 0.71, test k-fold cross-validation: R2 = 0.84 and RMSE = 4.0%). The model performed well on new data from two field trials not included in model training that compared 25 (R2 = 0.79, RMSE = 3.7%) and seven (R2 = 0.87, RMSE = 9.4%) fungicide programs. This objective method of assessing mid-to-late season disease severity can be used to assist growers with harvest decisions and researchers with reproducible assessment of field experiments. This model will be integrated into future work with proximal ground sensors for pathogen identification and early season disease detection.[Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

First report of Phyllactinia chubutiana causing powdery mildew on Goji berry plants (Lycium barbarum and L. chinense) in the United States.

Goji berries, both Lycium barbarum, and L. chinense, are native to Asia and have been highly valued for food and medicinal purposes for more than 2,000 years (Wetters et al. 2018). These species are difficult to distinguish due to the extensive cultivar development of the former and the plasticity of the latter's phenotypes. During the summers (from July to September) of 2021 and 2022, powdery mildew was observed in Goji berry plants (L. barbarum and L. chinense) in both community and residential gardens, in Yolo Co., California. Disease severity varied between 30 and 100% of infected leaves per plant. Host identity was confirmed by phylogenetic analysis using sequences of the psbA-trnH intergenic region (Wetters et al. 2018). Powdery mildew was characterized by the presence of white fungal colonies on both sides of the leaves and the fruit sepals. Colorless adhesive tape mounts of the fungal structures were examined in drops of 3% KOH. Epidermal strips of infected leaves were peeled off for analysis of the mycelia. Hyphae were both external and internal, hyaline, septate, branched, smooth, and 2.5 to 5.8 (4.3) µm wide (n = 50). Appressoria were nipple-shaped to irregularly branched and solitary or opposite in pairs. Conidiophores were hyaline, erect, and simple. Foot cells were cylindrical, straight, 13.1 to 48.9 (29.8) × 5.0 to 8.2 (6.8) µm (n = 20), followed by 0 to 2 cells. Conidia lacked fibrosin bodies, were borne singly, unicellular, hyaline, and ellipsoid when young. Mature conidia were either cylindrical or slightly centrally constricted to dumb-bell-like, and 36.2 to 51.8 (44.9) × 15.1 to 22.0 (18.9) µm (n = 50), with conspicuous subterminal protuberances. Germ tubes were subterminal, either short with multilobate apex or moderately long with a simple end. Chasmothecia were not observed. Morphologically the fungus matched the description of Phyllactinia chubutiana Havryl., S. Takam. & U. Braun (Braun and Cook, 2012). The pathogen identity was further confirmed by amplifying and sequencing the rDNA internal transcribed spacer (ITS) and the 28S rDNA gene using the primer pairs ITS1/ITS4 (White et al. 1990) and PM3/TW14 (Takamatsu and Kano 2001, Mori et al. 2000). The resulting sequences (GenBank OP434568 to OP434569; and OP410969 to OP410970) were compared with the NCBI database using BLAST, showing 99% similarity to the ex-type isolate of P. chubutiana (BCRU 4634, GenBank AB243690). Maximum parsimony phylogenetic analysis clustered our isolates with reference sequences of P. chubutiana from various hosts deposited in GenBank. Pathogenicity was confirmed by inoculating two two-year-old L. barbarum potted plants. Four leaves per plant were surface disinfected (75% ethanol, 30 s) before gently rubbing powdery mildew infected leaves onto healthy leaves. Healthy leaves were used for mock inoculations. All plants were maintained in a growth chamber at 22°C and 80% relative humidity (RH) for five days and then 60% RH thereafter. Inoculated leaves developed powdery mildew symptoms after 28 days, and P. chubutiana colonies were confirmed by morphology, hence fulfilling Koch's postulates. Control leaves remained symptomless. Phyllactinia chubutiana (= Oidium insolitum, Ovulariopsis insolita) was first described on L. chilense in Argentina (Braun et al. 2000, Havrylenko et al. 2006), and later reported on L. chinense in China (Wang Yan et al. 2016). To our knowledge, this is the first report of P. chubutiana causing powdery mildew on L. barbarum and L. chinense in the United States, which provides crucial information for developing effective strategies to monitor and control this newly described disease.

Effects of Temperature and Wetness on Components of the Infection Cycle of Valdensia heterodoxa in Lowbush Blueberry.

Valdensia leaf spot, caused by Valdensia heterodoxa, is a serious disease of lowbush blueberry. The disease may develop rapidly, resulting in extensive defoliation of fields. The purpose of this study was to examine the effects of temperature and wetness duration on various components of the infection cycle to gain a better understanding of epidemic development that might lead to improved management practices. Lesions on leaves appeared 6 h after inoculation at 20°C and were larger on young 3-week-old leaves compared with 8-week-old leaves. Incidence of infection on 3-week-old leaves was lowest at 5°C, highest at 15 and 20°C, and failed to occur at 30°C. Defoliation began 48 h after inoculation at 20 and 25°C but was slower at higher and lower temperatures. Conidia production and release from colonized leaves began 48 h after inoculation at 15 and 19°C. Total conidia production was lowest at 7°C, highest at 15°C, and progressively declined at 19 and 23°C. Production of conidia lasted 2 to 3 days. Sclerotia formed mainly along the midveins and were similar in size at 5 to 15°C, largest at 20°C, and smallest at 25°C. Conidia formed directly on sclerotia that were overwintered outdoors and then incubated on moist filter paper. Conidia production began after 48 h at 10, 15, and 20°C. Total production was lowest at 5°C, highest at 20°C, failed to occur at 25°C, and ceased after 10 days at all temperatures. These data show that at optimal temperatures, relatively short wet periods are required for conidia production on overwintered sclerotia, infection of leaves, and subsequent conidia production on diseased leaves that may account for the sudden and rapid spread of disease in fields. The data will be useful for helping growers identify weather conditions favorable for disease development.

Calonectria populi sp. nov., causing leaf blight of Populus deltoides in India.

Populus deltoides is one of the most favored cash crops in northern India. Thus, accurate identification of pathogens affecting P. deltoides is a critical step in finding or developing effective control measures. In June 2020, symptoms of a leaf blight disease were observed on P. deltoides trees planted at Forest Research Institute, Dehradun, India. Calonectria-like fungal isolates were consistently isolated from the infected leaf samples. Morphological features coupled with phylogenetic analysis of combined partial actin (act), calmodulin (cmdA), histone (his3), translation elongation factor 1-alpha (tef1) and ß-tubulin (tub2) gene regions of two fungal isolates confirmed a novel species, which is described and illustrated here as Calonectria populi sp. nov. Symptoms similar to those observed in natural conditions were caused by both the isolates on P. deltoides clone AM109 in detached leaf assays and glasshouse inoculation experiments. Finally, Koch's postulates were established by re-isolation and re-identification of the pathogen from the inoculated leaves. This work is the first to confirm a new leaf blight disease of P. deltoides caused by C. populi sp. nov. in India and worldwide.

Effect of RH, Temperature, Light, and Plant Age on Infection of Lowbush Blueberry by Sphaerulina vaccinii.

Leaf spot and stem canker caused by Sphaerulina vaccinii is associated with premature defoliation in lowbush blueberry resulting in reduced yields. In this study, we investigated the impact of free water, RH, temperature, light, and plant age on leaf infection under controlled conditions. On potato dextrose agar, germination of conidia was usually polar. Growth was minimal at 5 and 10°C, increased at 15 and 20°C, was maximal at 25°C and decreased at 30°C. Percentage of germinated conidia on inoculated blueberry leaves incubated in dark controlled-humidity chambers for 3 days (25°C) was 86.0, 90.5, 81.3, and 28.3 in free water, 100, 97.5 or 95% RH, respectively. Germination did not occur at 90 or 85% RH. Infection of inoculated plants, however, was not favored by free water, but rather by high RH (>95%) and a 14-h photoperiod (180 µmol/m2 per second). Infection failed in continuous darkness, continuous light, or continuous darkness followed by 4, 8, or 12 h of light. Light and scanning electron microscopy showed that hyphal penetration into stomata on abaxial leaf surfaces was strongly tropic. When germ tubes grew in close proximity to a stomate, a penetration hypha formed at ∼90° angles to the germ tube and took the closest path to the stomate. Stomatal penetration was usually direct, but occasionally appressorium-like hyphal swellings formed over stomatal openings. When inoculated plants were exposed to high RH (>95%) at various temperatures, infection occurred after 4 days at 10°C, after 3 days at 15°C and after 1 day at 20 and 25°C. Infection failed to occur at 30°C. Disease severity also increased with duration of the humid period. When leaves were examined microscopically, those that had been incubated for 6 days showed a substantially greater network of epiphytic growth with more stomatal penetrations compared with those incubated for 3 days. Infection was substantially reduced when the humid period was interrupted by alternating days of low RH (60%). Two-week-old leaves were 2.7 times more susceptible than 8-week-old leaves.

Upper and Lower Leaf Side Detection with Machine Learning Methods.

Recent studies have approached the identification of foliar plant diseases using artificial intelligence, but in these works, classification is achieved using only one side of the leaf. Phytopathology specifies that there are diseases that show similar symptoms on the upper part of the leaf, but different ones on the lower side. An improvement in accuracy can be achieved if the symptoms of both sides of the leaf are considered when classifying plant diseases. In this context, it is necessary to establish whether the captured image represents the leaf on its upper or lower side. From the research conducted using botany books, we can conclude that a useful classification feature is color, because the sun-facing part is greener, while the opposite side is shaded. A second feature is the thickness of the primary and secondary veins. The veins of a leaf are more prominent on the lower side, compared to the upper side. A third feature corresponds to the concave shape of the leaf on its upper part and its convex shape on the lower part. In this study, we aim to achieve upper and lower leaf side classification using both deep learning methods and machine learning models.

A Novel Sulfone Derivative Controls Lasiodiplodia theobromae in Tea Leaf Spot by Reducing the Ergosterol Content.

Diseases caused by fungi can affect the quality and yield of the leaves of tea [Camellia sinensis (L.) Kuntze]. At present, the availability of highly effective and safe fungicides for controlling tea plants remains limited. The objectives of this study were to identify novel compounds with antifungal activities and to determine their molecular mechanisms. A series of sulfone compounds containing 1,3,4-oxadiazole were evaluated in China for their antifungal activities against several pathogens causing foliar diseases and high production losses. Transcriptomics and bioinformatics were used to analyze the differentially expressed genes of Lasiodiplodia theobromae treated with a representative compound, jiahuangxianjunzuo (JHXJZ). Moreover, the effects of JHXJZ on ergosterol content, membrane permeability, cell structure, and seven key genes involved in the ergosterol biosynthetic pathway were investigated. JHXJZ had a strong antifungal activity against L. theobromae in vitro, with an effective concentration giving 50% inhibition of 3.54 ± 0.55 µg/ml, and its curative efficacies on detached tea leaves reached 41.78% at 100 µg/ml. JHXJZ upregulated 899 genes (P < 0.05) and downregulated 1,185 genes (P < 0.05) in L. theobromae. These genes were found to be associated with carbohydrate metabolic processes, which are closely related to steroid biosynthesis in the Kyoto Encyclopedia of Genes and Genomes pathways. Because JHXJZ regulates the key genes of sterol biosynthesis, it decreased the ergosterol content, increased cell-membrane permeability, changed the cellular structure, enhanced the roughness of the surface of the hyphae, and resulted in degradation of the hyphal nuclei and necrosis of the hyphal cytoplasm. Our study demonstrates that JHXJZ is a fungicide with a novel mechanism of action that differs from that of triazole fungicides. JHXJZ has potential for applications in controlling tea plant diseases.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Genome Resource for Two Stemphylium vesicarium Isolates Causing Stemphylium Leaf Blight of Onion in New York.

Stemphylium leaf blight caused by Stemphylium vesicarium was recently identified as an emerging disease and dominant in the foliar disease complex affecting onion in New York. Here, we report the genomes of two isolates of S. vesicarium, On16-63 and On16-391. The availability of the genomes will accelerate genomic studies of S. vesicarium, including population biology, sexual reproduction, and fungicide resistance. Additionally, comparative genomics with the other published genome of S. vesicarium causing brown spot of pear will help understand pathogen biology and underpin the development of management strategies for this disease.

Silicon Alleviates Changes in the Source-Sink Relationship of Wheat Plants Infected by Pyricularia oryzae.

Blast, caused by Pyricularia oryzae, has become a devastating disease on wheat in several countries worldwide. Growers need alternative methods for blast management, and silicon (Si) stands out for its potential to decrease the intensity of important diseases in several crops. This study investigated the effect of Si on improving photoassimilate production on flag leaves of wheat plants and their partitioning to spikes in a scenario where blast symptoms decreased as a result of potentiation of defense mechanisms by Si. Wheat plants (cultivar BRS Guamirim) were grown in hydroponic culture with 0 or 2 mM Si and inoculated with P. oryzae at 10 days after anthesis. The Si concentration on flag leaves and spikes of Si-supplied plants increased and resulted in lower blast symptoms. High concentrations of total soluble phenols and lignin-thioglycolic acid derivatives and greater peroxidase, polyphenoloxidase, phenylalanine ammonia-lyase, ß-1,3-glucanase, and chitinase activity occurred on flag leaves and spikes of Si-supplied plants and increased their resistance to blast. The concentration of photosynthetic pigments decreased and the photosynthetic performance of infected flag leaves and spikes from plants not supplied with Si was impaired for chlorophyll a fluorescence parameters including maximal photosystem II quantum efficiency, fraction of energy absorbed used in photochemistry, quantum yield of nonregulated energy dissipation, and quantum yield of regulated energy dissipation. The concentration of soluble sugars was lower on infected flag leaves and spikes from plants not supplied with Si, whereas the hexose-to-sucrose ratio increased on infected flag leaves. Sucrose-phosphate synthase activity was lower and acid invertase activity was higher on flag leaves and spikes of plants not supplied with Si, respectively, compared with Si-supplied plants. The starch concentration on spikes of Si-supplied plants increased. In conclusion, Si showed a beneficial effect in improving the source-sink relationship of infected flag leaves and spikes by preserving alterations in assimilate production and partitioning during the grain filling process.

Foliar damage beyond species distributions is partly explained by distance dependent interactions with natural enemies.

Plant distributions are expected to shift in response to climate change, and range expansion dynamics will be shaped by the performance of individuals at the colonizing front. These plants will encounter new biotic communities beyond their range edges, and the net outcome of these encounters could profoundly affect colonization success. However, little is known about how biotic interactions vary across range edges and this has hindered efforts to predict changes in species distributions in response to climate change. In contrast, a rich literature documents how biotic interactions within species ranges vary according to distance to and density of conspecific individuals. Here, we test whether this framework can be extended to explain how biotic interactions differ beyond range edges, where conspecific adults are basically absent. To do so, we planted seven species of trees along a 450-km latitudinal gradient that crossed the current distributional range of five of these species and monitored foliar disease and invertebrate herbivory over 5 yr. Foliar disease and herbivory were analyzed as a function of distance to and density of conspecific and congeneric trees at several spatial scales. We found that within species ranges foliar disease was lower for seedlings that were farther from conspecific adults for Acer rubrum, Carya glabra, Quercus alba, and Robinia pseudoacacia. Beyond range edges, there was even less foliar disease for C. glabra, Q. alba, and R. pseudoacacia (A. rubrum was not planted outside its range). Liriodendron tulipifera did not experience reduced disease within or beyond its range. In contrast, Quercus velutina displayed significant but idiosyncratic patterns in disease at varying distances from conspecifics. Patterns of distance dependent herbivory across spatial scales was generally weak and in some cases negative (i.e., seedlings farther from conspecific adults had more herbivory). Overall, we conclude that differences in biotic interactions across range edges can be thought of as a spatial extension to the concept of distance dependent biotic interactions. This framework also provides the basis for general predictions of how distance dependent biotic interactions will change across range edges in other systems.

Decreased Biosynthesis of Jasmonic Acid via Lipoxygenase Pathway Compromised Caffeine-Induced Resistance to Colletotrichum gloeosporioides Under Elevated CO2 in Tea Seedlings.

Caffeine, the major purine alkaloid in tea has long been known for its role in plant defense. However, its effect on Colletotrichum gloeosporioides that causes brown blight disease in tea is largely unknown especially under elevated CO2. Here we show that elevated CO2 reduced endogenous caffeine content in tea leaves, but sharply increased susceptibility of tea to C. gloeosporioides. The expression of C. gloeosporioides actin gene was gradually increased during the postinoculation period. In contrast, foliar application of caffeine decreased the C. gloeosporioides-induced necrotic lesions and the expression of C. gloeosporioides actin. Analysis of endogenous jasmonic acid (JA) content revealed that exogenous caffeine could induce JA content under both CO2 conditions in absence of fungal infection; however, in presence of fungal infection, caffeine increased JA content only under elevated CO2. Furthermore, exogenous caffeine enhanced lipoxygenase (LOX) activity and its biosynthetic gene expression under both CO2 conditions, indicating that increased JA biosynthesis via LOX pathway by caffeine might strengthen plant defense only under elevated CO2, while caffeine-induced defense under ambient CO2 might be associated with JA-independent LOX pathway in tea. These results provide novel insights into caffeine-induced plant defense mechanisms that might help to develop an eco-friendly approach for disease control.

Soybean Resistance to Cercospora sojina Infection Is Reduced by Silicon.

Frogeye leaf spot, caused by Cercospora sojina, is one of the most important leaf diseases of soybean worldwide. Silicon (Si) is known to increase the resistance of several plant species to pathogens. The cultivars Bossier and Conquista, which are susceptible and resistant, respectively, to frogeye leaf spot, supplied and nonsupplied with Si were examined for the activities of defense enzymes and the concentrations of total soluble phenolics (TSP) and lignin-thioglycolic acid (LTGA) derivatives at 8, 14, and 16 days after inoculation (dai) with C. sojina. The importance of cell wall degrading enzymes (CWDE) to the infection process of C. sojina and the effect of Si on their activities were also determined. Soybean plants were grown in hydroponic culture containing either 0 or 2 mM Si (-Si and +Si, respectively) and noninoculated or C. sojina inoculated. Severity of frogeye leaf spot was higher in cultivar Bossier plants than cultivar Conquista and also in the +Si plants compared with their -Si counterparts. Except for the concentrations of TSP and LTGA derivatives, activities of defense enzymes and the CWDE did not change for +Si noninoculated plants regardless of the cultivar. The activities of lipoxygenases, phenylalanine ammonia-lyases, chitinases, and polyphenoloxidases as well as the activities of CWDE decreased for the +Si inoculated plants. The results from this study demonstrated that defense enzyme activities decreased in soybean plants supplied with Si, which compromised resistance to C. sojina infection.

Draft genome sequence data of Nothopassalora personata, peanut foliar pathogen from Argentina.

Late leaf spot (LLS) caused by the Ascomycete Nothopassalora personata (N.p.) (Syn. Cercosporidium personatum) is the main foliar disease of peanuts in Argentina and in peanut producing areas of the world, causing up to 70% yield losses. The extremely slow growth of this fungus in culture, that takes around one month to form a 1 cm colony (0.45 mm/day), and the lack of adequate young tissues from where to extract nucleic acids, have hindered genetic studies of this pathogen. Here, we report the first genome sequence of a N. personata isolate from South America, as well as genetic variants on its conserved genes, and the complete sequence of its mating-type locus MAT1-2 idiomorph. The N. personata isolate IPAVE 0302 was obtained from peanut leaves in Córdoba, Argentina. The whole genome sequencing of IPAVE 0302 was performed as paired end 150 bp NovaSeq 6000 and de novo assembled. Clean reads were mapped to the reference genome for this species NRRL 64463 and the genetic variants on highly conserved genes and throughout the genome were analyzed. Sequencing data were submitted to NCBI GenBank Bioproject PRJNA948451, accession number SRR23957761. Additional Fasta files are available from Harvard Dataverse (https://doi.org/10.7910/DVN/9AGPMG and https://doi.org/10.7910/DVN/YDO3V6). The data reported here will be the basis for the analysis of genetic diversity of the LLS pathogen of peanut in Argentina, information that is critical to make decisions on management strategies.

Terpestacin, a toxin produced by Phoma exigua var. heteromorpha, the causal agent of a severe foliar disease of oleander (Nerium oleander L.).

Since 1987, several cytochalasins were isolated from Phoma exigua var. heteromorpha, the causal agent of foliar blight disease of oleander (Nerium oleander L.), and chemically and biologically characterised. During the purification process of a large-scale production of cytochalasins A and B, necessary to continue the study on their anticancer activity, a metabolite having a different carbon skeleton compared to that of cytochalasans, was isolated. It was identified as terpestacin, a well-known toxic fungal stestertepenoid, isolated for the first time from P. exigua var. heteromorpha, by spectroscopic investigation (essentially 1D and 2D 1H and 13C-NMR and ESI MS) and optical methods in comparison with the literature data. Terpestacin and some its derivatives (including a natural one, fusaproliferin) were prepared and tested for their biological activity. Terpestacin and fusaproliferin had some inhibitory effects on seed germination of Phelipanche ramosa, whereas none of the compounds caused phytotoxic effects on weed leaves.[Formula: see text].

Genome-Wide Association Study for Spot Blotch Resistance in Synthetic Hexaploid Wheat.

Spot blotch (SB) caused by Bipolaris sorokiniana (Sacc.) Shoem is a destructive fungal disease affecting wheat and many other crops. Synthetic hexaploid wheat (SHW) offers opportunities to explore new resistance genes for SB for introgression into elite bread wheat. The objectives of our study were to evaluate a collection of 441 SHWs for resistance to SB and to identify potential new genomic regions associated with the disease. The panel exhibited high SB resistance, with 250 accessions showing resistance and 161 showing moderate resistance reactions. A genome-wide association study (GWAS) revealed a total of 41 significant marker-trait associations for resistance to SB, being located on chromosomes 1B, 1D, 2A, 2B, 2D, 3A, 3B, 3D, 4A, 4D, 5A, 5D, 6D, 7A, and 7D; yet none of them exhibited a major phenotypic effect. In addition, a partial least squares regression was conducted to validate the marker-trait associations, and 15 markers were found to be most important for SB resistance in the panel. To our knowledge, this is the first GWAS to investigate SB resistance in SHW that identified markers and resistant SHW lines to be utilized in wheat breeding.

Weather-Based Predictive Modeling of Cercospora beticola Infection Events in Sugar Beet in Belgium.

Cercospora leaf spot (CLS; caused by Cercospora beticola Sacc.) is the most widespread and damaging foliar disease of sugar beet. Early assessments of CLS risk are thus pivotal to the success of disease management and farm profitability. In this study, we propose a weather-based modelling approach for predicting infection by C. beticola in sugar beet fields in Belgium. Based on reported weather conditions favoring CLS epidemics and the climate patterns across Belgian sugar beet-growing regions during the critical infection period (June to August), optimum weather conditions conducive to CLS were first identified. Subsequently, 14 models differing according to the combined thresholds of air temperature (T), relative humidity (RH), and rainfall (R) being met simultaneously over uninterrupted hours were evaluated using data collected during the 2018 to 2020 cropping seasons at 13 different sites. Individual model performance was based on the probability of detection (POD), the critical success index (CSI), and the false alarm ratio (FAR). Three models (i.e., M1, M2 and M3) were outstanding in the testing phase of all models. They exhibited similar performance in predicting CLS infection events at the study sites in the independent validation phase; in most cases, the POD, CSI, and FAR values were ≥84%, ≥78%, and ≤15%, respectively. Thus, a combination of uninterrupted rainy conditions during the four hours preceding a likely start of an infection event, RH > 90% during the first four hours and RH > 60% during the following 9 h, daytime T > 16 °C and nighttime T > 10 °C, were the most conducive to CLS development. Integrating such weather-based models within a decision support tool determining fungicide spray application can be a sound basis to protect sugar beet plants against C. beticola, while ensuring fungicides are applied only when needed throughout the season.

Fungal Species Causing Maize Leaf Blight in Different Agro-Ecologies in India.

Foliar diseases of maize cause severe economic losses in India and around the world. The increasing severity of maize leaf blight (MLB) over the past ten years necessitates rigorous identification and characterization of MLB-causing pathogens from different maize production zones to ensure the success of resistance breeding programs and the selection of appropriate disease management strategies. Although Bipolaris maydis is the primary pathogen causing MLB in India, other related genera such as Curvularia, Drechslera, and Exserohilum, and a taxonomically distant genus, Alternaria, are known to infect maize in other countries. To investigate the diversity of pathogens associated with MLB in India, 350 symptomatic leaf samples were collected between 2016 and 2018, from 20 MLB hotspots in nine states representing six ecological zones where maize is grown in India. Twenty representative fungal isolates causing MLB symptoms were characterized based on cultural, pathogenic, and molecular variability. Internal Transcribed Spacer (ITS) and glyceraldehyde-3-phosphate dehydrogenase (GADPH) gene sequence-based phylogenies showed that the majority of isolates (13/20) were Bipolaris maydis. There were also two Curvularia papendorfii isolates, and one isolate each of Bipolaris zeicola, Curvularia siddiquii, Curvularia sporobolicola, an unknown Curvularia sp. isolate phylogenetically close to C. graminicola, and an Alternaria sp. isolate. The B. zeicola, the aforesaid four Curvularia species, and the Alternaria sp. are the first reports of these fungi causing MLB in India. Pathogenicity tests on maize plants showed that isolates identified as Curvularia spp. and Alternaria sp. generally caused more severe MLB symptoms than those identified as Bipolaris spp. The diversity of fungi causing MLB, types of lesions, and variation in disease severity by different isolates described in this study provide baseline information for further investigations on MLB disease distribution, diagnosis, and management in India.

How Foliar Fungal Diseases Affect Nitrogen Dynamics, Milling, and End-Use Quality of Wheat.

Foliar fungal diseases may cause important losses on yield and quality of wheat (Triticum aestivum L.). They may impact crop growth rate differently, modifying nitrogen (N) dynamics and carbohydrate accumulation in the grain. The relationship between N and carbohydrates accumulation determines the grain protein concentration, which impacts the gluten concentration and rheological properties of the wheat flour. In addition, types of fungicides and N fertilization can influence the intensity of foliar diseases and have an effect on the milling and end-use quality, depending on the bread-making aptitude of the genotypes, the nutritional habit of the pathogen involved, the amount and time of infection, environmental factors, and interactions between these factors. In that way, N fertilization may modify the severity of the diseases according to the nutritional habit of the pathogen involved. Some fungicides, such as strobilurins and carboxamides, produce high levels of disease control and prolong the healthy leaf area duration, which translates into important yield responses, potentially compromising the grain protein concentration by additional carbohydrate production, with consequences in the bread-making quality. Furthermore, infections caused by biotrophic pathogens can be more damaging to N deposition than to dry matter accumulation, whereas the reverse has been generally true for diseases caused by necrotrophic pathogens. The time of infection could also affect yield components and N dynamics differentially. Early epidemics may reduce the number of grains per area and the N remobilization, whereas late epidemics may affect the thousand kernel weight and mainly the N absorption post-flowering. A review updating findings of the effects of infections caused by foliar fungal pathogens of different nutritional habits and the incidence of several factors modifying these effects on the above-ground biomass generation, N dynamics, protein and gluten concentration, milling, rheological properties, loaf volume, and other quality-related traits is summarized. Three main pathogens in particular, for which recent information is available, were taken as representative of biotrophic (Puccinia triticina), necrotrophic (Pyrenophora tritici-repentis), and hemibiotrophic (Zymoseptoria tritici) nutritional habit, and some general models of their effects are proposed. New challenges for researchers to minimize the impact of foliar diseases on end-use quality are also discussed.